QAM: Quadratic-Accurate Checkpoint Merging via Sequential Consistency
QAM merges checkpoints to match sequential gradient descent through second order, with an O(h^3) error bound.
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QAM merges checkpoints to match sequential gradient descent through second order, with an O(h^3) error bound.
Complex KDA extends Kimi Delta Attention so one transition can represent 2D rotations and stronger state tracking.
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